Front Office Software Engineer - Python / React - Orbis Consultants London - #2197113

Front Office Software Engineer – Python / React – Investment Management

Orbis is working with a leading mid-sized Investment Manager who are transforming their internal investment technology systems with a focus on modern software engineering principles and AI. They are now looking for a Software Engineer with excellent Python experience to work with Front Office teams and take ownership of their in-house Investment Management platform

This is a fantastic opportunity for a Software Engineer with strong Python and AI Experience to work directly with Portfolio Managers and Investment teams, becoming the primary developer behind a business critical investment platform for one of the world's top Investment Managers during an incredible exciting period of growth.

Your key responsibilities in this role will be:

1. Owning and evolving the architecture, codebase, reliability and experience for the core Investment Platform
2. Partnering directly with Portfolio Managers and Investment teams to turn ideas into valuable full-stack applications quickly, using Python and modern web technologies e.g. React
3. Building LLM-powered agentic workflows, research assistants and analytical tools that combine AI with financial data, market data and internal research

To be successful in this role, you will need:

1. 5+ years' Python experience gained within an Investment Management organisation (or similar), working on scalable systems in an investment environment
2. Modern web development experience (ideally React / TypeScript)
3. Significant use of AI coding agents in your everyday workflow, and experience building applications with LLMs, agentic development or RAG
4. Strong practical knowledge of APIs, Git, Docker, cloud-hosted applications and CI/CD
5. (ideally) Experience with Azure, Databricks / Spark, or SQL with large financial datasets

If you feel your experience is a match with the above, please apply with an up to date CV in the first instance.